Characterization of particle size and shape by an IPI system through deep learning-Reference-Cited by-同舟云学术

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Characterization of particle size and shape by an IPI system through deep learning

Published:2021-07 Issue: Volume:268 Page:107642
ISSN:0022-4073
Container-title:Journal of Quantitative Spectroscopy and Radiative Transfer
language:en
Short-container-title:Journal of Quantitative Spectroscopy and Radiative Transfer

Author:

Zhang Hongxia,Li Zhonghao,Sun Jinlu,Fu Yushi,Jia Dagong,Liu Tiegen

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Spectroscopy,Atomic and Molecular Physics, and Optics,Radiation

Reference24 articles.

1. Cylindrical interferometric out-of-focus imaging for the analysis of droplets in a volume;Shen;Opt Lett,2012

2. Size determination of mixed liquid and frozen water droplets using interferometric out-of-focus imaging;Kielar;J Quant Spectrosc Radiat Transfer,2016

3. Multifrequency interferometric particle imaging for gas bubble sizing;Dehaeck;Exp Fluids,2008

4. Interferometric out-of-focus imaging simulator for irregular rough particles;Brunel;J Eur Opt Soc Rapid Publ,2014

5. Simultaneous shape and size measurements of irregular rough particles by an IPI system with double receivers;Zhang;J Mod Opt,2019

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